Search results

Extant studies in entrepreneurship have explored factors that influence the birth and growth of start-up firms; however, there appears to be a dearth of studies examining the influence of founders' ambidextrous orientation on start-ups' success, especially their speed of attaining the coveted status of a “unicorn start-up” – which is considered a mega success in practice. This study examines whether and how founding teams’ collective ambidextrous orientation influences their respective start-ups’ pace of becoming a “unicorn”.

This study empirically analyses 220 interviews by the founders of 83 Indian unicorns in examining the influence of the founding teams’ collective exploration-exploitation capability on their firms' speed to achieve the “unicorn” status. The Cox Hazard model was used to test the hypothesized relationships, and linear ordinary least squares (OLS) regression was used to test the robustness of the results.

The authors find a strong positive relationship between founding teams’ ambidextrous skills and the speed of becoming a unicorn. The study results suggest that the founding teams’ collective exploratory skills may be more influential in their start-up’s speed to unicorn status vis-à-vis their exploitative skills.

This study finds that the founding teams’ ambidextrous orientation and exploratory skills accelerate their start-up’s speed to becoming a unicorn, contributing to the academic discourse on the “unicorn” phenomenon, which is widely acknowledged as a grand success status for start-ups—especially technology and venture capital funded start-ups—among the practitioners. This study contributes to the academic discourse on firm capabilities and founding-team-related antecedents of start-up success by raising a new dimension of the founding team’s ambidextrous orientation.

This study examines the impact of economic policy uncertainty (EPU) on investment decision-making of start-up firms in Japan. While existing literature suggests firms generally retrench investment under EPU, the authors argue that start-ups’ investment behaviours are likely different given the fact that start-ups always have to compete for survival.

The authors investigate the impact of general economic policy and policy-specific uncertainty, including monetary policy, fiscal policy, trade policy and exchange rate policy uncertainty, on corporate investment of start-up firms using multiple fixed-effect regression. A wide range of robustness and endogeneity tests are conducted to ensure the validity and soundness of the empirical findings.

The authors document a positive effect of EPU on start-up investment, to suggesting that the investment behaviour of start-ups is backed by venture capital distinct from that of mature firms. The results show that start-ups are more vulnerable during the changes in trade and exchange rate policies; uncertainties in monetary and fiscal policies do not restrain firms' investment. However, the effect varies in the cross-sections. Financial constraints have a moderating effect on the relation-ship between EPU on start-up investment. Institutional investors have an incremental effect on the positive relationship between EPU and start-up investment by encouraging risky investments.

This is the first study to investigate how start-up investment is influenced by EPU, thus providing a new understanding of the investment behaviour of start-up firms during uncertainty. Further investigation sheds light on the roles of institutional and managerial ownership in this newfound relationship.

Little is known, about the role played by start-ups in open innovation networks. Start-ups – due to their nature of new and emerging companies – can largely benefit from the knowledge that can flow intentionally or unintentionally from external partners during open innovation practices. When open innovation networks are not set among peers on both sides the authors expect to have more unintended knowledge flows. Such knowledge “leaks” – as the authors named them – in open innovation networks are totally unexplored in literature. Hence, the purpose of this paper is to focus “whether and how knowledge leaks occur in open innovation networks with start-ups”.

The research design of this study relies on social network analysis methods and techniques to disentangle the role of start-ups in open innovation networks – in a major Italian aerospace cluster – vis-à-vis the three types of knowledge considered in this study. Then the authors confirmed knowledge leaks to occur through a multiplexity analysis. In the second stage of the research, the authors decided to strengthen the results, making them more vivid and thorough, relying on four case studies.

The paper sheds light on a totally unexplored phenomenon, theorizing on the role of start-ups in open innovation networks and suggesting intriguing implications both for theory and managers on whether and how knowledge leaks occur.

The main limitations arise from the specific research context, in fact the study has been conducted in an aerospace cluster. So future studies might consider to explore knowledge leaks in non-cluster settings and in low tech industries.

The results have practical implications both for policy makers and for managers. First of all, the research confirms how open innovation often originates from a combination of different knowledge types acquired through the collaboration with heterogeneous players, start-ups included. Hence, managers may design open innovation strategies balancing their portfolio of collaborations to maximize the absorption of relevant knowledge and start-uppers may consider to engage in open innovation practices to accelerate knowledge absorption. Nevertheless, the study warns managers against the risk of knowledge leaks, especially in cases like start-ups where the eagerness to participate or the prestige associated with participating in open innovation networks with key players may hamper the control over knowledge leaks.

This opens up for possible interventions for policy makers too. First of all, policy makers may consider incorporating the concept of knowledge leaks in their campaign in favour of open innovation. Second, the study may help policy makers in designing programmes for knowledge transfer partnerships amongst the various players of a cluster in a more conscious way, especially warning new to business companies, like start-ups, about possible leaks. Finally, there is also the need of developing professional figures like consultants capable of supporting start-ups in their open innovation practices.

Findings reported in the paper confirm multiplexity and heteromorphism in knowledge exchanges and shed the light on a completely unexplored field (i.e. open innovation and start-ups), focussing on knowledge leaks. Relevant implications for policy makers and managers are included in the study.

The aim of this chapter is to investigate the relationship between the uses of budgets with financial performance in start-ups’ business environment. For this reason, an empirical survey was carried out, using a questionnaire in 134 start-up companies, which are based in 10 different European countries. Results show that there is a positive association between the use of budgets for planning, resource allocation and performance evaluation with financial performance. The CEO’s business educational background, as well as CEO’s beliefs about planning, has a strong influence in the use of budgets in start-up firms. We also concluded that there is a positive association between perceived environmental uncertainty (PEU) and the use of budgets for planning and resource allocation and a negative association between PEU and the use of budgets for performance evaluation.

The purpose of this article is to investigate the relationship between gender, innovation and growth in Italian innovative start-ups.

This is a quantitative study based on a sample of more than 4,600 Italian innovative start-ups. In order to ascertain whether female-led firms that invest more in innovation grow more than their male-led counterparts, sales growth is analysed through a fixed-effects regression over the period 2015–2019. Propensity score matching is also used to check for potential selection bias.

Results reveal that innovation is crucial for start-up growth and, most importantly, that female entrepreneurs exploit the potential of innovative activities for their firm’s growth better than their male peers.

The results provide important evidence on the link between gender and innovation and how these two elements interact for the growth of firms in their early life. Results also provide insights for policymakers to use in designing programs for promoting female entrepreneurship and participation in science.

Using the Panel Study of Entrepreneurial Dynamics II dataset, we examine the role that household income plays in the emergence of consumer-oriented start-ups by individual (solo), family-based (family), and non-family based start-ups (team). In particular, we address the research question: Does household income impact firm emergence, and if so, is emergence impacted differently based on start-up configuration? Our results indicate that household income does have a significant impact on average firm emergence, as well as on emergence growth rates for solo and family firms, playing an especially significant role for family firms. Furthermore, we found that household income is not a significant predictor of start-up activity completion for teams. Results from our study reinforce the extant literature on the benefits of starting a firm with teams, and suggests that these enterprise types may provide a more stable platform on which to launch a start-up. Implications of these findings and opportunities for future research are offered.

As traditional manufacturing, previously vital to the UK economy, is increasingly outsourced to lower‐cost locations, policy makers seek leadership in emerging industries by encouraging innovative start‐up firms to pursue competitive opportunities. Emerging industries can either be those where a technology exists but the corresponding downstream value chain is unclear, or a new technology may subvert the existing value chain to satisfy existing customer needs. Hence, this area shows evidence of both technology‐push and market‐pull forces. The purpose of this paper is to focus on market‐pull and technology‐push orientations in manufacturing ventures, specifically examining how and why this orientation shifts during the firm's formative years.

A multiple case study approach of 25 UK start‐ups in emerging industries is used to examine this seldom explored area. The authors offer two models of dynamic business‐orientation in start‐ups and explain the common reasons for shifts in orientation and why these two orientations do not generally co‐exist during early firm development.

Separate evolution paths were found for strategic orientation in manufacturing start‐ups and separate reasons for them to shift in their early development. Technology‐push start‐ups often changed to a market‐pull orientation because of new partners, new market information or shift in management priorities. In contrast, many of the start‐ups beginning with a market‐pull orientation shifted to a technology‐push orientation because early market experiences necessitated a focus on improving processes in order to increase productivity or meet partner specifications, or meet a demand for complementary products.

While a significant body of work exists regarding manufacturing strategy in established firms, little work has been found that investigates how manufacturing strategy emerges in start‐up companies, particularly those in emerging industries.

The purpose of this paper is to understand the practices and policies unique to high-tech manufacturing start-ups in emerging economies, such as India. The study analyzes the main features and challenges of the high-tech manufacturing sector, and the way in which enabling environment including policy making, supply chain capability and related technologies through Industry 4.0 could be leveraged to foster growth.

The paper undertakes an exploratory approach through in-depth semi-structured interviews conducted with high-tech manufacturing firms in various stages of their growth. The paper provides evidence of the challenges that high-tech manufacturing firms face in India, the strategies they adopt and highlights the role of institutional structures and policies.

Findings show that high-tech manufacturing start-ups in India face various challenges in the upstream, production and downstream supply chain processes. Further, issues related to availability of quality material, quality suppliers, contracts, funding and access to markets remain. Results also show that enabling operational and financial levers could be created by policy makers and other stakeholders to help the high-tech manufacturing start-ups scale faster and create value.

This paper contributes to the R&D intensive industry and high-tech manufacturing literature in the context of emerging economies, such as India, and provides a rigorous overview of the start-up ecosystem in high-tech manufacturing.

This study aims to enrich the current theoretical debate on the growth of start-up firms by extensively investigating the ongoing empirical studies in this research stream. Moreover, this study identifies drivers whose support roles are confirmed in the literature and recommends further research opportunities.

In this study, we analysed the results of 316 empirical studies on start-up firms and growth and also identified and categorised 66 growth drivers. We presented these drivers in three-dimensional charts: 1) the frequency of using each driver in the 316 studies, 2) the consistency of each driver as measured by the number of studies supporting its statistical significance and 3) the net effect (positive or negative) of each driver on growth.

Our analysis compares extant studies on growth drivers and shows some under-explored growth factors of start-up firms.

Both start-up managers and policymakers can benefit from this study. This study provided managers with a fine-grained tool on the main growth drivers and can guide policymakers in supporting policies for start-up firms.

This study provides a rich, fine-grained and coherent picture of several potential growth drivers of start-up firms. Moreover, we extended our analysis to various potential drivers more than previous studies on this topic, thereby providing fruitful insights into the critical growth factors for start-up firms.

The purpose of this paper is to capture the role of internal and external characteristics in favouring the growth of innovative start-ups at an early stage of their life.

The empirical approach of this paper is based on an econometric analysis applied to all Italian innovative start-ups with four and five years of life. Growth is analysed after four and five years from the constitution, depending on internal investments in research and development (R&D), in tangible assets and on characteristics external to the firm (110 Italian provinces) related to industrial variety, specialisation, public investments in R&D, etc.

The results achieved in this study reveal the importance of internal R&D investment even though there is missing evidence on the relevance of general and government specific R&D investment in the area. Other interesting results concern the importance of the firm’s involvement in the technological specialisation of the area and the need for general variety in technological diversification in the area to favour the growth of start-ups.

The results imply that entrepreneurs should evaluate carefully their strategic choices in terms of the location of the start-up and the investment in R&D as these could be important factors for the firm’s growth.

This paper is an original attempt to measure the importance of both internal and external characteristics for the growth of start-ups. Moreover, the analysis covers the overall population of a new interesting category of firm, the innovative start-up.